MavenWorks

What MavenWorks does

MavenWorks is a free open-source dashboarding framework that enables technical users to build and share interactive data dashboards and analytical applications without requiring backend server infrastructure. The product follows a platform-plus-targets architecture: a core Dashboard Framework (Parts, Bindings, Layout engine, GlobalsService) is delivered through four deployment targets — a Standalone desktop-style browser app, an optional Config Server for centralized save/load, a JupyterLab Extension for in-notebook dashboard creation, and a read-only Viewer extension. The technology stack uses PhosphorJS for the constraint-based layout engine, React for UI components, TypeScript/JavaScript for the frontend, Python for the JupyterLab extension, and Apache Arrow for data interoperability. A proprietary MQL (Maven Query Language) SQL dialect runs client-side in a Web Worker thread pool (8 threads) and supports variables, global references, hierarchical grouping, HTTP fetch, and JavaScript function embedding via tagged templates.

The company serves two primary persona segments: Data Analysts and Dashboard Developers building interactive visualizations and analytical applications, and JupyterLab Users who need embedded dashboarding within Jupyter notebooks. Distribution is community-led and marketplace-driven, with packages published on the npm registry under the @mavenomics namespace, presence in the JupyterLab extension marketplace, GitHub repository hosting, GitHub Pages documentation, and a Binder environment for zero-install trial. Strategic technology integrations include PhosphorJS (layout foundation), Apache Arrow (data shuttling), and Project Jupyter (kernel access).

MavenWorks operates without a commercial revenue model: the framework is distributed at no cost, with no pricing tiers, licensing fees, or paid tiers described in the source material. The revenue model field lists only a "Free Open Source" stream. No funding rounds, institutional investors, headcount figures, paying customers, management team, M&A activity, regulatory actions, or geographic operating data are disclosed. The project appears to be community-maintained under the GitHub 'Mavenomics' organization, with product launch activity recorded between 2019 and 2022 and no documented activity thereafter in the available data.

Name

MavenWorks

Website

https://mavenworks.com

Company type

Private

Operating status

Operating

Short description

MavenWorks is a free open-source dashboarding framework that lets data analysts and JupyterLab users build, share, and embed interactive client-side dashboards using a proprietary MQL query language, distributed via GitHub, npm, and the JupyterLab marketplace.

Ownership category

akta.pro rank

Product category

Open Source Dashboarding Framework

NAICS

Computer Systems Design and Related Services (54151)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

Data App Builders (Forms, Portals & Internal Tools) (HDAEAKAK)

akta.pro secondary industry

Low-Code/No-Code Application Platforms (HDAEAKAA)

Keywords

• Open source dashboarding
• Data visualization framework
• JupyterLab extension
• Analytical dashboards
• Browser-based query language

GTM type

B2B

Offering type

Software

Revenue model

1. Free Open Source: MavenWorks is a free open source dashboarding framework with no commercial revenue model. The product is distributed at no cost as open source software.

Go-to-market motion2 records

Distribution channels3 records

Marketing channels4 records

Core offering

MavenWorks is a free, open-source dashboarding framework for quickly building interactive dashboards and analytical applications. It runs client-side in the browser without server dependencies and supports a platform-plus-targets architecture with deployment via a Standalone App, optional Config Server, JupyterLab Extension, and Viewer. The framework provides Parts, a Layout engine, Bindings, and an MQL SQL-like query dialect that executes in Web Workers.

Product overview

MavenWorks is a free open source dashboarding framework that provides uniquely flexible and user-friendly ways to quickly build dashboards and analytical applications. The platform follows a platform-plus-targets architecture with MavenWorks Dashboard Framework as the core platform, supported by four deployment targets: Standalone App (fully independent client-side application), Config Server (optional centralized server for saving/loading dashboards), JupyterLab Extension (IDE integration for building dashboards within JupyterLab), and Viewer (read-only Jupyter notebook viewer). The framework offers two primary binding mechanisms: MQL (a browser-based SQL dialect) for data queries and JavaScript Bindings for custom logic. Developers can access the underlying TypeScript/JavaScript packages via npm for building custom integrations.

Differentiator

Problem solved

Functional benefit

Products and services

• MavenWorks Dashboard Framework The core free open source dashboarding framework providing the fundamental architecture for building dashboards, including Parts, Bindings, and Layout engine components.
• Standalone App A fully independent desktop-like application providing the complete MavenWorks dashboarding framework with additional UI and editor tooling for building dashboards from scratch without server dependencies.
• Config Server An optional server component built on top of Standalone that adds centralized dashboard saving and loading capabilities for team collaboration scenarios.
• JupyterLab Extension A JupyterLab extension adding Dashboard cell output and independent Dashboard document support, with Jupyter-specific tooling including Python Eval bindings for server-side calculations using Jupyter kernels.
• Viewer

Segments2 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration3 records

Feature5 records

Partnerships

Three partnerships are on record, tiered core.

• PhosphorJScoreTechnology or IntegrationPhosphorJS is the foundational layout framework used by MavenWorks. The layout engine is built using Phosphor constructs including DockPanel-inspired components for the drag-n-drop docking framework.
• Apache ArrowcoreTechnology or IntegrationApache Arrow integration enables MavenWorks Table class to convert data to/from Arrow format for efficient data shuttling with compact, efficient, and fast serialization.
• Project JupytercoreTechnology or IntegrationJupyterLab integration allows MavenWorks dashboards to run within Jupyter notebooks and as standalone Dashboard documents. Supports Jupyter kernels for server-side data retrieval.

Scale indicators1 record

Recent moves6 records

Expansion highlights4 records

Direct peers

• Voilà: An open-source tool for turning Jupyter notebooks into standalone dashboards and web applications, sharing MavenWorks' Jupyter-to-dashboard value proposition and developer audience.
• Observable: A reactive notebook and dashboarding platform that runs JavaScript in the browser — directly comparable to MavenWorks' client-side, notebook-to-dashboard paradigm and its JavaScript binding model.
• Streamlit: An open-source Python framework for building data and ML applications, integrated with Jupyter workflows. Targets the same data scientist / dashboard builder persona and offers a hosted commercial product on top.
• Metabase: An open-source BI and analytics platform with a strong self-serve dashboarding offering, including a commercial cloud product — a more mature open-source analogue in the same dashboarding category.
• Panel (HoloViz): An open-source Python library for building custom interactive web apps and dashboards, with strong Jupyter integration — directly comparable to MavenWorks' Jupyter dashboarding positioning.
• Plotly Dash: An open-source Python framework for building analytical web applications and dashboards, deeply used in the Python data science community — directly overlapping with MavenWorks' Jupyter-integrated dashboarding use case.
• Apache Superset: An open-source enterprise BI and data visualization platform — a direct open-source competitor in the dashboarding category, with significantly larger community and enterprise traction.

Emerging players

• Bokeh: An open-source Python interactive visualization library with strong Jupyter integration, often used to build dashboards and analytical apps — overlaps with MavenWorks' technical audience and Python data science use case.
• Hex: A collaborative data workspace combining notebooks, SQL, and interactive dashboards/app building — emerging as a commercial alternative to open-source dashboarding frameworks with stronger enterprise features.

Broad incumbents

• Tableau: The dominant commercial BI and dashboarding incumbent, with broad enterprise deployment — competes for the same dashboarding budget and use cases, though it serves a much broader audience and lacks MavenWorks' developer-first, notebook-centric positioning.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat3 records

Key risks6 records

Key highlights6 records

Customer concentration

• GitHubgithub.com/Mavenomics/MavenWorks

Revenue estimate

Valuation estimate

Number of profiles

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about MavenWorks